Dataset Versions
Versions
2024-10-05 8:19am
v30
· 3 months ago
2024-10-05 8:17am
v29
· 3 months ago
2024-10-05 6:43am
v28
· 3 months ago
2024-10-05 6:40am
v27
· 3 months ago
2024-10-05 6:39am
v26
· 3 months ago
2024-10-05 6:36am
v25
· 3 months ago
2024-10-05 6:33am
v24
· 3 months ago
2024-10-05 6:32am
v23
· 3 months ago
2024-10-05 6:29am
v22
· 3 months ago
2024-10-05 6:27am
v21
· 3 months ago
2024-10-04 3:14pm
v20
· 3 months ago
2024-10-04 3:07pm
v19
· 3 months ago
2024-10-04 2:58pm
v18
· 3 months ago
2024-10-04 2:56pm
v17
· 3 months ago
2024-10-04 2:52pm
v16
· 3 months ago
2024-10-04 2:51pm
v15
· 3 months ago
2024-10-04 2:44pm
v14
· 3 months ago
2024-10-04 2:41pm
v13
· 3 months ago
2024-10-04 2:37pm
v12
· 3 months ago
2024-10-03 2:53pm
v11
· 3 months ago
2024-10-03 2:44pm
v10
· 3 months ago
2024-10-03 2:38pm
v9
· 3 months ago
2024-10-03 2:22pm
v8
· 3 months ago
2024-10-03 2:12pm
v7
· 3 months ago
2024-10-03 1:48pm
v6
· 3 months ago
2024-10-03 1:42pm
v5
· 3 months ago
2024-10-03 1:35pm
v4
· 3 months ago
2024-10-03 12:42pm
v3
· 3 months ago
2024-10-01 4:22pm
v2
· 3 months ago
2024-10-01 4:08pm
v1
· 3 months ago
v20
2024-10-04 3:14pm
Generated on Oct 4, 2024
Popular Download Formats
YOLOv11
TXT annotations and YAML config used with YOLOv11.
YOLOv9
TXT annotations and YAML config used with YOLOv9.
YOLOv8
TXT annotations and YAML config used with YOLOv8.
YOLOv5
TXT annotations and YAML config used with YOLOv5.
YOLOv7
TXT annotations and YAML config used with YOLOv7.
COCO JSON
COCO JSON annotations are used with EfficientDet Pytorch and Detectron 2.
YOLO Darknet
Darknet TXT annotations used with YOLO Darknet (both v3 and v4) and YOLOv3 PyTorch.
Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
TFRecord
TFRecord binary format used for both Tensorflow 1.5 and Tensorflow 2.0 Object Detection models.
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
Other Formats
Choose another format.
68 Total Images
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Dataset Split
Train Set %
0Images
Valid Set 100%
68Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Augmentations
No augmentations were applied.